Deep Recurrent Survival Analysis. - Kan Ren; Jiarui Qin; Lei Zheng; Zhengyu Yang 002; Weinan Zhang 001; Lin Qiu; Yong Yu 001 (AAAI, 2019)

Deep Landscape Forecasting for Real-time Bidding Advertising. - Kan Ren; Jiarui Qin; Lei Zheng; Zhengyu Yang 002; Weinan Zhang 001; Yong Yu 001 (KDD, 2019)

TADS: Learning Time-Aware Scheduling Policy with Dyna-Style Planning for Spaced Repetition. - Zhengyu Yang 002; Jian Shen 003; Yunfei Liu 002; Yang Yang 001; Weinan Zhang 001; Yong Yu 001 (SIGIR, 2020)

Curriculum Offline Imitating Learning. - Minghuan Liu; Hanye Zhao; Zhengyu Yang 002; Jian Shen 003; Weinan Zhang 001; Li Zhao 007; Tie-Yan Liu (NeurIPS, 2021)

Model-Based Offline Policy Optimization with Distribution Correcting Regularization. - Jian Shen 003; Mingcheng Chen; Zhicheng Zhang; Zhengyu Yang 002; Weinan Zhang 001; Yong Yu 001 (ECML/PKDD (1), 2021)

Learning to Build High-Fidelity and Robust Environment Models. - Weinan Zhang 001; Zhengyu Yang 002; Jian Shen 003; Minghuan Liu; Yimin Huang; Xing Zhang; Ruiming Tang; Zhenguo Li (ECML/PKDD (1), 2021)

Curriculum Offline Imitation Learning. - Minghuan Liu; Hanye Zhao; Zhengyu Yang 002; Jian Shen 003; Weinan Zhang 001; Li Zhao 007; Tie-Yan Liu (CoRR, 2021)

Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. - Zhengyu Yang 002; Kan Ren; Xufang Luo; Minghuan Liu; Weiqing Liu; Jiang Bian 002; Weinan Zhang 001; Dongsheng Li 002 (IJCAI, 2022)